title: Unsupervised navigation using an economy principle
creator: Warnett, Lawrence
creator: McGonigle, Brendan
subject: Machine Learning
subject: Artificial Intelligence
subject: Robotics
description: We describe robot navigation learning based on self-selection of privileged vectors through the environment in accordance with an in built economy metric. This provides the opportunity both for progressive behavioural adaptation, and adaptive derivations, leading, through situated activity, to “representations" of the environment which are both economically attained and inherently meaningful to the agent.
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Demiris, Yiannis
contributor: Marom, Yuval
contributor: Kozima, Hideki
contributor: Balkenius, Christian
date: 2002
type: Conference Poster
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/2529/1/Warnett.pdf
identifier:   Warnett, Lawrence and McGonigle, Brendan  (2002) Unsupervised navigation using an economy principle.  [Conference Poster]     
relation: http://cogprints.org/2529/